<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Maier A</submitter><funding>Swiss State Secretariat for Education, Research and Innovation</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>German Federal Ministry of Education and Research</funding><funding>German Excellence Initiative</funding><funding>IBM and Ian Lawson van Toch Fund</funding><funding>Spanish State Research Agency</funding><funding>Horizon Europe project Repo4EU</funding><funding>Natural Sciences Research Council</funding><funding>Deutsche Forschungsgemeinschaft</funding><funding>European Research Council</funding><funding>European Union</funding><funding>VILLUM Young Investigator</funding><funding>European Union’s Horizon 2020</funding><funding>Horizon 2020</funding><funding>Canada Foundation for Innovation</funding><funding>Ontario Research Fund</funding><pubmed_abstract>In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerged to identify potential drug repurposing candidates. However, these tools often require complex installation and lack intuitive visual network mining capabilities. To tackle these challenges, we introduce Drugst.One, a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing. With just three lines of code, Drugst.One turns any systems biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks. Demonstrating its broad ad</pubmed_abstract><journal>ArXiv</journal><pagination>arXiv:2305.15453v2</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10274948</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing.</pubmed_title><pmcid>PMC10274948</pmcid><funding_grant_id>777111</funding_grant_id><funding_grant_id>#225404</funding_grant_id><funding_grant_id>RE010-020</funding_grant_id><funding_grant_id>13154</funding_grant_id><funding_grant_id>965193</funding_grant_id><funding_grant_id>#30865</funding_grant_id><funding_grant_id>161L0214A</funding_grant_id><funding_grant_id>22.00115</funding_grant_id><funding_grant_id>PID2019-105500GB-I00</funding_grant_id><funding_grant_id>RDI #34876</funding_grant_id><funding_grant_id>101057619</funding_grant_id><funding_grant_id>770827</funding_grant_id><funding_grant_id>NSERC #203475</funding_grant_id><funding_grant_id>16LW0243K</funding_grant_id><funding_grant_id>422216132</funding_grant_id><funding_grant_id>F031L0214A</funding_grant_id><pubmed_authors>Levi H</pubmed_authors><pubmed_authors>List M</pubmed_authors><pubmed_authors>Saez-Rodriguez J</pubmed_authors><pubmed_authors>Shaked G</pubmed_authors><pubmed_authors>Zolotareva O</pubmed_authors><pubmed_authors>Baumbach J</pubmed_authors><pubmed_authors>Blumenthal DB</pubmed_authors><pubmed_authors>Garcia-Hernandez C</pubmed_authors><pubmed_authors>Hartung M</pubmed_authors><pubmed_authors>Oubounyt M</pubmed_authors><pubmed_authors>Baier S</pubmed_authors><pubmed_authors>Sarkar S</pubmed_authors><pubmed_authors>Wang R</pubmed_authors><pubmed_authors>Jurisica I</pubmed_authors><pubmed_authors>Bader GD</pubmed_authors><pubmed_authors>Pillich RT</pubmed_authors><pubmed_authors>Lobentanzer S</pubmed_authors><pubmed_authors>Manz Q</pubmed_authors><pubmed_authors>Lazareva O</pubmed_authors><pubmed_authors>Sadegh S</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Loscalzo J</pubmed_authors><pubmed_authors>Matschinske J</pubmed_authors><pubmed_authors>Pico AR</pubmed_authors><pubmed_authors>Pratt D</pubmed_authors><pubmed_authors>Abovsky M</pubmed_authors><pubmed_authors>Elkjaer ML</pubmed_authors><pubmed_authors>Malod-Dognin N</pubmed_authors><pubmed_authors>Trummer N</pubmed_authors><pubmed_authors>Poschenrieder JM</pubmed_authors><pubmed_authors>Turhan U</pubmed_authors><pubmed_authors>Mee M</pubmed_authors><pubmed_authors>Helmy M</pubmed_authors><pubmed_authors>Hoffmann M</pubmed_authors><pubmed_authors>Shamir R</pubmed_authors><pubmed_authors>Maier A</pubmed_authors><pubmed_authors>Adamowicz K</pubmed_authors><pubmed_authors>Przulj N</pubmed_authors><pubmed_authors>Kotlyar M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing.</name><description>In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerged to identify potential drug repurposing candidates. However, these tools often require complex installation and lack intuitive visual network mining capabilities. To tackle these challenges, we introduce Drugst.One, a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing. With just three lines of code, Drugst.One turns any systems biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks. Demonstrating its broad ad</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2026-06-16T03:13:45.304Z</modification><creation>2026-06-16T03:07:23.869Z</creation></dates><accession>S-EPMC10274948</accession><cross_references><pubmed>37332567</pubmed><doi>10.1093/nar/gkae388</doi></cross_references></HashMap>